Layer-induced seismic anisotropy from full-wave sonic logs: Theory, application, and validation

Geophysics ◽  
2006 ◽  
Vol 71 (6) ◽  
pp. D183-D190 ◽  
Author(s):  
Christopher L. Liner ◽  
Tong W. Fei
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Seismic Anisotropy ◽  
Seismic Data Processing ◽  
Dominant Wavelength ◽  
Depth Migration ◽  
Full Wave ◽  
Theory Application ◽  
Anisotropy Parameters ◽  
Intrinsic Anisotropy

Thin isotropic elastic layering in the earth is one cause of seismic VTI anisotropy, along with intrinsic anisotropy and fractures. An important issue related to the routine use of VTI seismic data processing is the estimation of the necessary parameters. The full set of layer-induced VTI anisotropy parameters can be computed from full-wave sonic and density log data using Backus averaging. Intrinsic anisotropy can be incorporated if it is known from laboratory analysis. The isotropic layering method is applied to six wells in eastern Saudi Arabia, and the estimated anisotropy parameters are persistent across distances of many kilometers. This leads to the possibility of parameter estimation at sparse well locations for use in seismic data processing. Validation is demonstrated by direct numerical simulation of elastic wavefields in original and Backus-averaged earth models with various window lengths. We observe precise equivalence of the full wavefield when the averaging length is less than or equal to one-third of the minimum dominant wavelength. First arrival information, used in depth migration, is preserved with much longer averaging windows, up to twice the minimum dominant wavelength.

scholarly journals The results of explicit record of velocity anisotropy concerning seismic imaging

2013 ◽  
pp. 42-55
Author(s):  
P. Zagorodnyuk ◽  
G. Lisny
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Seismic Waves ◽  
Seismic Anisotropy ◽  
Seismic Imaging ◽  
Seismic Data Processing ◽  
Velocity Anisotropy ◽  
Velocity Modeling ◽  
Midpoint Method ◽  
Depth Scale

The researches shows that the explicit account of the seismic waves velocities anisotropy is preferable comparing to the traditional one, the meaning of which became clear due to the authors’ publications. The main advantages of an explicit account of seismic anisotropy are:  the usage of a depth scale, not the time scale, in seismic data processing and interpretation;  depth-velocity modeling without using the technologies of common midpoint method, thus, preventing from a number of errors, which is highly important for 3-D seismic;  possibility to use technology of seismic images anisotropic decomposition. Dnieper-Donetsk depression seismic data processing results convincingly demonstrate the advantages of the seismic anisotropy explicit account for seismic imaging of anisotropic media.   

Applying the Horizon Based Tomography Method to Update Interval Velocity Model, Identify The Structure of Pre-Stack Depth Migration 3D and Estimate The Hydrocarbon Reserve In SBI Field of North West Java Basin

2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Sudra Irawan ◽  
Sismanto Sismanto ◽  
Adang Sukmatiawan
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Velocity Model ◽  
Research Area ◽  
Seismic Data Processing ◽  
West Java ◽  
North West ◽  
Depth Migration ◽  
Interval Velocity ◽  
Tomography Method

Seismic data processing is one of the three stages in the seismic method that has an important role in the exploration of oil and gas. Without good data processing, it is impossible to get seismic image cross section for good interpretation. A research using seismic data processing was done to update the velocity model by horizon based tomography method in SBI Field, North West Java Basin. This method reduces error of seismic wave travel time through the analyzed horizon because the existence velocity of high lateral variation in research area. There are three parameters used to determine the accuracy of the resulting interval velocity model, namely, flat depth gathers, semblance residual moveout that coincides with the axis zero residual moveout, and the correspondence between image depth (horizon) with wells marker  (well seismic tie). Pre Stack Depth Migration (PSDM) form interval velocity model and updating using horizon-based tomography method gives better imaging of under-surfaced structure results than PSDM before using tomography. There are three faults found in the research area, two normal faults have southwest-northeast strike and the other has northwest-southeast strike. The thickness of reservoir in SBI field, North West Java Basin, is predicted between 71 to 175 meters and the hydrocarbon (oil) reserve is predicted about  with 22.6% porosity and 70.7% water saturation. 

Borehole-Driven 3D Surface Seismic Data Processing Using DAS-VSP Data

2021 ◽  
Author(s):  
Gang Yu ◽  
Junjun Wu ◽  
Yuanzhong Chen ◽  
Ximing Wang
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Seismic Data ◽  
Field Data ◽  
Seismic Data Processing ◽  
3D Surface ◽  
Data Volume ◽  
Vsp Data ◽  
Seismic Data Acquisition ◽  
Anisotropy Parameters

Abstract A 3D surface seismic data acquisition project was conducted simultaneously with 3D DAS-VSP data acquisition in one well in Jilin Oilfield of Northen China. The 3D surface seismic data acquisition project covered an area of 75 km2, and one borehole (DS32-3) and an armoured optical cable with high temperature single mode fiber were used to acquire the 3D DAS-VSP data simultaneously when the crew was acquiring the 3D surface seismic data. The simultaneously acquired 3D DAS-VSP data were used to extract formation velocity, deconvolution operator, absorption, attenuation (Q value), anisotropy parameters (η, δ, ε) as wel as enhanced the surface seismic data processing including velocity model calibration and modification, static correction, deconvolution, demultiple processing, high frequency restoration, anisotropic migration, and Q-compensation or Q-migration. In this project, anisotropic migration, Q-migration was conducted with the anisotropy parameters (η, δ, ε) data volume and enhanced Q-field data volume obtained from the joint inversion of both the near surface 3D Q-field data volume from uphole data and the mid-deep layer Q-field data volume from all available VSP data in the 3D surface seismic surveey area. The anosotropic migration and Q-migration results show much sharper and focussed faults and and clearer subsutface structure.

Seismic Data Processing and Depth Imaging for Yingxionglin Complex Structures-Belt in Qaidam Basin, Tibetan Plateau

2021 ◽  
Author(s):  
Yongsheng Wang ◽  
Chenqing Tan ◽  
Bo Zhu ◽  
Yanming Tong ◽  
Haifeng Wang ◽  
...  
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Qaidam Basin ◽  
Surface Condition ◽  
Complex Surface ◽  
Seismic Data Processing ◽  
Depth Migration ◽  
Velocity Modeling ◽  
Static Correction ◽  
Exploration And Production

Abstract The Yingxionglin structural belt located in the world's highest-altitude petroliferous basin, Qaidam Basin. Due to its complex surface condition, subsurface structure and low signal-to-noise ratios (SNR) of seismic data, exploration and production is quite challenging. From 2012 to now, we continued developing and improving seismic data processing and interpretation workflow. After several rounds field support and testing, new techniques exploring and velocity modelling iteration, we gradually developed a suitable workflow for complex dipping structure imaging including signal processing, velocity modeling, and depth migration. The quality of final delivered 3D seismic data is significantly improved with the integrated static correction techniques, fidelity multi-domain noise attenuation, 5D MPFI regularization, integrated velocity modelling and final pre-stack depth migration. According to our final deliverables, we identified credible traps and high-production reservoirs were found.

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